DEVELOPMENT... OpenML
Run
164461

Run 164461

Task 3895 (Supervised Classification) gina_prior Uploaded 17-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I80
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.9124
Per class
F measure
0.8404
Per class
Kappa
0.6807
KB relative information score
2308.0865
Mean absolute error
0.1691
Mean prior absolute error
0.4999
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8414
Per class
Predictive accuracy
0.8405
Prior entropy
0.9998
Recall
0.8405
Per class
Relative absolute error
0.3383
Root mean prior squared error
0.4999
Root mean squared error
0.3675
Root relative squared error
0.7351
SciMark benchmark
938.2848
UserCPU time millis
47110
UserCPU time millis testing
20
UserCPU time millis training
47090